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Modern Virtual Screening Technologies 利用薛定谔数字化平台进行现代虚拟筛选 Webinar Life Science
Expediting FEP+ model optimization for challenging systems with a fully automated, machine learning-driven workflow Webinar Life Science
  • Jun 25, 2024
Expediting FEP+ model optimization for challenging systems with a fully automated, machine learning-driven workflow

FEP+ is a powerful predictive technology in drug discovery – with applications from hit discovery through lead optimization. A critical first step in deploying FEP+ is to validate and optimize the model for the protein-ligand system of interest.

Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第11回 Webinar Life Science
  • Jun 18, 2024
Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第11回

強固なコンフォメーションのアンサンブル生成能力、受容体との相互作用を予測するための新しいドッキングワークフロー、ペプチド薬開発における特性空間の微調整の強化など、進化した構造ベースのツールを用いた事例を紹介します

 Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~   Webinar Life Science
  • Mar 28, 2024
 Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~  

AI/Machine LearningによるアクティブラーニングとAbsolute Binding FEP+を活用した新しいバーチャルスクリーニング手法最新の創薬研究事例を紹介します。

LiveDesign for Biologics: Improving and expediting biologics discovery with a centralized, collaborative informatics platform Webinar Life Science
  • May 21, 2024
LiveDesign for Biologics: Improving and expediting biologics discovery with a centralized, collaborative informatics platform

In this webinar, we explore LiveDesign, Schrödinger’s collaborative enterprise informatics platform.

Introducing PyMOL 3: Bring your biochemistry to life with 3D molecular visualization and movie making Webinar Life Science Materials Science
  • Apr 25, 2024
Introducing PyMOL 3: Bring your biochemistry to life with 3D molecular visualization and movie making

With PyMOL 3, we take molecular visualization to new heights – empowering scientists, educators, marketers, and communicators to bring their science to life.

Schrödinger デジタル創薬セミナー:  Free Energy Calculations beyond Small Molecule Binding: Predicting Antibody Affinity, pH Sensing, Receptor Functional Response and More Webinar Life Science
  • Mar 19, 2024
Schrödinger デジタル創薬セミナー:  Free Energy Calculations beyond Small Molecule Binding: Predicting Antibody Affinity, pH Sensing, Receptor Functional Response and More

この講演では、FEP+メソッドの最近の拡張により、小分子結合以外の高付加価値のアプリケーションが能になった事例を紹介します

Accurate modeling of receptor functional response: GPCRs and beyond Webinar Life Science
  • Feb 28, 2024
Accurate modeling of receptor functional response: GPCRs and beyond

In this webinar, we present a tractable and computationally efficient protocol that can accurately and reliably predict the functional response of a receptor to ligand binding.

Life Science: FEP+ Webinar Life Science
  • Jan 25, 2024
Impacting Drug Discovery Programs with Large-Scale De Novo Design

Developing technologies to more comprehensively and effectively enable de novo design of high-quality chemical matter has been a long-standing goal of drug discovery.

Chinese Webinar: 薛定谔中文讲座:DLK在计算机辅助药物设计中的案例研究 ,网络讲座录制 计算机驱动用于治疗神经退行性疾病的高效、高选择性和穿透脑血屏障的DLK抑制剂的发现 Webinar Life Science
  • Dec 20, 2023
Chinese Webinar: 薛定谔中文讲座:DLK在计算机辅助药物设计中的案例研究 ,网络讲座录制 计算机驱动用于治疗神经退行性疾病的高效、高选择性和穿透脑血屏障的DLK抑制剂的发现

双亮氨酸拉链激酶(DLK)(又名MAP3K12)是混合系谱激酶(MLK)家族的成员,它包含一个N-末端激酶结构域,后面跟着两个亮氨酸拉链结构域以及一个富含甘氨酸/丝氨酸/脯氨酸的C-末端结构域。它主要在神经元细胞中表达,特别是在神经元的突触末端和轴突中

In silico enabled discovery of KAI-11101, a potent, selective, and brain-penetrant DLK inhibitor for the treatment of neurodegenerative diseases Webinar Life Science
  • Dec 7, 2023
In silico enabled discovery of KAI-11101, a potent, selective, and brain-penetrant DLK inhibitor for the treatment of neurodegenerative diseases

In this webinar, we detail the program led by Schrödinger Therapeutics Group to discover a novel, potent, selective, and brain-penetrant DLK inhibitor (KAI-11101).

Amplify discovery across vast chemical space Webinar Life Science
  • Nov 8, 2023
In Silico Driven Drug Discovery of a Zwitterionic Integrin αvβ6 Development Candidate for Fibrosis

In this webinar, discover how in silico techniques combined with traditional medicinal chemistry approaches are applied in a structure-based drug discovery program.

Events

Accessible and automated computational catalyst discovery and reactivity optimization Webinar Materials Science
  • Jun 2, 2026
Accessible and automated computational catalyst discovery and reactivity optimization

In this webinar, we will demonstrate how an end-user physics–AI platform removes barriers to entry, making this process accessible to both experts and non-experts while enabling seamless scalability.

Computational and Medicinal Chemistry by the Lake 2026 Event Life Science
  • Jun 2nd-4th, 2026
Computational and Medicinal Chemistry by the Lake 2026

Schrödinger is excited to be participating in the Computational and Medicinal Chemistry by the Lake 2026 conference taking place on June 2nd – 4th in Kuopio, Finland.

A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients Webinar Materials Science
  • Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients

In this webinar, we present recent advances in automated, end-to-end solutions for studying degradation, reactivity, and catalysis of active pharmaceutical ingredients (APIs).

Webinars

Biologics modeling for wet lab scientists: Detecting and deprioritizing dead ends before they reach the bench Webinar Life Science
  • Jun 3, 2026
Biologics modeling for wet lab scientists: Detecting and deprioritizing dead ends before they reach the bench

Join us to learn how to detect and deprioritize high-risk candidates, effectively discarding developability dead-ends before they ever reach the bench.

Generative Glide: AI-driven ultra-large virtual screening for real-world drug discovery Webinar Life Science
  • Jun 4th-11th, 2026
Generative Glide: AI-driven ultra-large virtual screening for real-world drug discovery

Join us as we go beyond slides and run a demo of the workflow, showing how Generative Glide performs in practice from setup through results.

Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis Webinar Life Science
  • Jun 10th-16th, 2026
Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis

In this webinar, we revisit RetroSynth, Schrödinger’s AI-powered solution for intelligent synthesis planning.

Documentation

  • Documentation
Learning Path: Oligonucleotide Modeling

A structured overview of tools and workflows for nucleic acids in drug discovery.

  • Documentation
WaterMap

Efficiently converged MD simulations are run with explicit water molecules, and resultant trajectories are analyzed to cluster hydration sites.

  • Documentation
SiteMap

Identify binding sites, including allosteric binding sites and protein-protein interfaces, and evaluate their druggability.

Tutorials

  • Tutorial
Structure-Based Virtual Screening using Glide

Prepare receptor grids for docking, dock molecules and examine the docked poses.

  • Tutorial
Ligand Binding Pose Generation for FEP+

Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking.

  • Tutorial
Homology Modeling of Protein-Ligand Binding Sites with IFD-MD

Create a homology model of TYK2 from JAK3 and including a bound ligand. Compare this model with the crystal structure for TYK2 bound to 4GIH.

Training Videos

Getting Going with Maestro BioLuminate Video Life Science
Getting Going with Maestro BioLuminate

A free video series introducing the basics of using Maestro Bioluminate.

Getting Going with Maestro Video Life Science
Getting Going with Maestro

A free video series introducing the basics of using Maestro.

  • Video
Introducing Ligand Designer

An overview of the LigandDesigner workflow, Editing in 2D and 3D, using display options and overlays, and accessing the Admin Panel.

Publications

Case Studies

White Papers

FEP+ Pose Builder — maximizing utility and productivity in FEP simulations White Paper Life Science
  • Jan 29, 2026
FEP+ Pose Builder — maximizing utility and productivity in FEP simulations

FEP+ Pose Builder is a methodological advancement introduced as an integrated feature to drastically enhance accessibility, user-friendliness, and productivity within the FEP+ pipeline.

20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS White Paper Life Science
  • Oct 29, 2024
20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS

Glide has long set the gold standard for commercial molecular docking software due to its robust performance in both binding mode prediction and empirical scoring tasks, ease of use, and tight integration with Schrödinger’s Maestro interface and molecular discovery workflows.

QuickShape screening in the age of ultra-large libraries  White Paper Life Science

Quick Reference Sheets

  • Quick Reference Sheet
Force Field Builder

A one-page guide to calculate missing torsion parameters for ligands using the Force Field Builder panel.

  • Quick Reference Sheet
Ligand Interaction Diagram

A one-page guide to using the Ligand Interaction Diagram for examining ligand-receptor interactions.

  • Quick Reference Sheet
GlideMap

A one-page guide to using the GlideMap GUI for ligand placement guided by experimental density.

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Latest insights from Extrapolations blog

With FEP+, “The Experiment is the Limit.”
With FEP+, “The Experiment is the Limit.”

Over the past century, small molecule drugs have represented the dominant modality in drug research, enabling medical breakthroughs that have saved countless lives.

Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods (FEP)
Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods

The complexity and size of drug candidates has grown in recent years as scientists pursue novel targets once considered undruggable.

Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In Blog
Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In

We recently sat down with Edward Miller, Senior Director of Protein Structure Modeling at Schrödinger, to discuss his experience using AlphaFold models for SBDD.

Training & Resources

Online certification courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Free learning resources

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.